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RNN-based Seq2Seq proposed by [1]} ([1]}) for the If-Then reasoning on Atomic.
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Variational Seq2Seq combines a latent variable with the encoder-decoder structure through converting the last hidden state of RNN encoder into a Gaussian distributed latent variable [3]}.
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VRNMT Propose by [4]} ([4]}), VRNMT combines CVAE with attention-based encoder-decoder framework through introduces a latent variable to model the semantic distribution of targets.
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CWVAE-Unpretrained refers to the CWVAE model without the pretrain stage.

